Year |
Citation |
Score |
2006 |
Rosenstein MT, Barto AG, Van Emmerik REA. Learning at the level of synergies for a robot weightlifter Robotics and Autonomous Systems. 54: 706-717. DOI: 10.1016/J.Robot.2006.03.002 |
0.703 |
|
2005 |
Berthier NE, Rosenstein MT, Barto AG. Approximate optimal control as a model for motor learning. Psychological Review. 112: 329-46. PMID 15783289 DOI: 10.1037/0033-295X.112.2.329 |
0.557 |
|
2005 |
Muslea I, Dignum V, Corkill D, Jonker C, Dignum F, Coradeschi S, Saffiotti A, Fu D, Orkin J, Cheetham W, Goebel K, Bonissone P, Soh LK, Jones RM, Wray RE, ... ... Rosenstein MT, et al. The workshop program at the Nineteenth National Conference on Artificial Intelligence Ai Magazine. 26: 103-108. DOI: 10.1609/Aimag.V26I1.1806 |
0.346 |
|
2005 |
Rosenstein MT, Fagg AH, Ou S, Grupen RA. User intentions funneled through a human-robot interface International Conference On Intelligent User Interfaces, Proceedings Iui. 257-259. DOI: 10.1145/1040830.1040888 |
0.624 |
|
2005 |
BROCK O, FAGG A, GRUPEN R, PLATT R, ROSENSTEIN M, SWEENEY J. A FRAMEWORK FOR LEARNING AND CONTROL IN INTELLIGENT HUMANOID ROBOTS International Journal of Humanoid Robotics. 2: 301-336. DOI: 10.1142/S0219843605000491 |
0.656 |
|
2005 |
Rosenstein MT, Fagg AH, Platt R, Sweeney JD, Grupen RA. Remote supervisory control of a humanoid robot Proceedings of the National Conference On Artificial Intelligence. 4: 1702-1703. |
0.686 |
|
2004 |
Rosenstein MT, Barto AG. Reinforcement learning with supervision by a stable controller Proceedings of the American Control Conference. 5: 4517-4522. DOI: 10.1109/ACC.2004.182663 |
0.565 |
|
2004 |
Rosenstein MT, Fagg AH, Grupen RA. Robot learning with predictions of operator intent Aaai Fall Symposium - Technical Report. 107-108. |
0.675 |
|
2002 |
Rosenstein MT, Grupen RA. Velocity-dependent dynamic manipulability Proceedings - Ieee International Conference On Robotics and Automation. 3: 2424-2429. |
0.487 |
|
2001 |
Rosenstein MT, Barto AG. Robot weightlifting by direct policy search Ijcai International Joint Conference On Artificial Intelligence. 839-844. |
0.639 |
|
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